Senior AI/ML Engineer – LLM, VLM & Generative AI
Skills
About the role
Job Title: Senior AI/ML Engineer – LLM, VLM & Generative AI Location: Navi Mumbai - Ghansoli(Onsite) Final Interview: Face to Face Experience: 5+ Years Employment Type: Full-Time
Job Summary
We are looking for a Senior AI/ML Engineer to build and deploy next-generation AI solutions powered by Large Language Models (LLMs), Vision Language Models (VLMs), and Generative AI. The ideal candidate should have strong expertise in core AI/ML, deep learning, multimodal AI, and backend engineering, with experience taking AI models from research to production.
Key Responsibilities
Design, develop, and deploy production-grade AI/ML solutions using Python and modern deep learning frameworks.
Build RAG (Retrieval-Augmented Generation) pipelines, agentic AI workflows, and enterprise knowledge retrieval systems.
Develop Vision Language Model (VLM) applications for image understanding, OCR, document intelligence, and multimodal AI.
Fine-tune and optimize open-source LLMs using LoRA, PEFT, and prompt engineering techniques.
Design embedding pipelines, vector database integrations, semantic search, and retrieval systems.
Build scalable backend services and AI APIs using FastAPI/Flask.
Implement model monitoring, evaluation, hallucination detection, guardrails, and performance optimization.
Collaborate with product, engineering, and data teams to deliver reliable AI solutions for production environments.
Required Skills
Strong Python programming skills with FastAPI or Flask.
5+ years of experience in AI/ML, Deep Learning, and production ML systems.
Hands-on experience with PyTorch, TensorFlow, Scikit-learn, and model deployment.
Strong expertise in LLMs, RAG, Prompt Engineering, Embeddings, Vector Databases, and Semantic Search.
Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.
Hands-on experience with Vision Language Models (VLMs) such as CLIP, BLIP, LLaVA, OCR, and multimodal AI.
Experience with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP).
Knowledge of Kafka/RabbitMQ, asynchronous processing, and scalable AI architectures.
Preferred Skills
Experience with LoRA, PEFT, Quantization, vLLM, Triton Inference Server, or distributed inference.
Knowledge of AI Agents, Multi-Agent Systems, LangGraph, CrewAI, or AutoGen.
Experience with MLflow, Weights & Biases, Airflow, and MLOps practices.
Familiarity with GPU optimization, model serving, and production AI infrastructure.
Preferred Background
Experience building enterprise AI products from research to production.
Background in Computer Vision, NLP, Document AI, or Multimodal AI.
Experience working with scalable AI platforms in fintech, healthcare, enterprise SaaS, or regulated industries.
Application Question(s):
Are you an immediate Joiner?
Mention your last working day.
Available for final round Face to face ?
How many Years of experience in Vision Language Model?
Total year of experience in AI/ML?
Location:
Navi Mumbai, Maharashtra (Preferred)
Work Location: In person
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